Integrated neural network and AspenPlus model for entrained flow gasification kinetics investigation by Balaban Dario, Lubura Jelena, Kojić Predrag

“…Entrained flow gasification is a well-established technology, however, the main obstacle in process design is the complex gasification mechanism, since numerous phenomena at extreme process conditions take place simultaneously. …”
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An Integrated Fault Diagnosis Method for Rotating Machinery Based on Improved Multivariate Multiscale Amplitude-Aware Permutation Entropy and Uniform Phase Empirical Mode Decomposi... by Jiancheng Gong, Xiaoqiang Yang, Fan Pan, Wuqiang Liu, Fuming Zhou

“…Rotating machinery refers to machinery that executes specific functions mainly relying on their rotation. They are widely used in engineering applications. …”
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Task migration with deadlines using machine learning-based dwell time prediction in vehicular micro clouds by Ziqi Zhou, Agon Memedi, Chunghan Lee, Seyhan Ucar, Onur Altintas, Falko Dressler

“…This paper addresses two main challenges. First, we present a task migration algorithm supporting deadlines in vehicular edge computing. …”
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Model of a Photovoltaic Cell for the MatLab/Simulink SimPowerSystems Library by D. I. Zalizny

“…The model is characterized by the fact that the series and parallel resistance of the photovoltaic cell are made in the form of resistors from the SimPowerSystems library. The main calculation algorithm is implemented programmatically by using the “C” programming language. …”
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Structural Parameter Optimization of a Tomato Robotic Harvesting Arm: Considering Collision-Free Operation Requirements by Chuanlang Peng, Qingchun Feng, Zhengwei Guo, Yuhang Ma, Yajun Li, Yifan Zhang, Liangzheng Gao

“…The Non-dominated Sorting Genetic Algorithm II (NSGA-II) multi-objective genetic algorithm is employed to optimize the arm length, and the results were validated through a virtual experiment using workspace traversal. …”
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Geoecological Analysis of the Effects of Pipeline Transport on the Environment of Transit Regions (Voronezh Region, Russia) by L. A. Mezhova, A. M. Lugovskoy, Yu. N. Gladkiy, A. B. Glazyeva, O. Yu. Sushkova, L. B. Vampilova, A. A. Sokolova, L. A. Lugovskaya

“…The authors have developed a program for the organisation of environmentally safe pipeline transport and have proposed an algorithm for using GIS technologies for quick analysis of the degree of risk. …”
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Evaluating regional sustainable energy potential through hierarchical clustering and machine learning by Selen Avcı Azkeskin, Zerrin Aladağ

“…First, the Fuzzy C-Means (FCM) algorithm is employed to perform fuzzy clustering using three main criteria and three different distance metrics—Euclidean, Manhattan, and Minkowski—, resulting in 21 clustering scenarios. …”
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Tightly Coupling Fusion of UWB Ranging and IMU Pedestrian Dead Reckoning for Indoor Localization by Rashid Ali, Ran Liu, Anand Nayyar, Basit Qureshi, Zhiqiang Cao

“…A real-time ranging error compensation model based on the LS method and AKF positioning algorithm are used for fixing such problems. We propose a new tightly coupled inertial navigation system (INS) with a two-way ranging (TWR) fusion positioning algorithm to improve accuracy, integrating UWB and IMU sensors based on the EKF in pedestrian navigation. …”
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A high performance approach to ensure image security during transmission by Adithya S Nair, Charvi Upreti, Advaith Arun, Renuka Devi S

“…This makes secure image processing and transmission important. The main challenge is to find a balance between security and performance, as strong encryption can slow down processing, while faster ones might lead to data loss. …”
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A Comparison of YOLOv8 Series Performance in Student Facial Expressions Detection on Online Learning by Dewi Tresnawati, Shopi Nurhidayanti, Nina Lestari

“…This study shows that the YOLOv8 algorithm, especially YOLOv8s, can be an effective solution to analyze student engagement based on their facial expressions during online learning.…”
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Guideline for the use of therapeutic drug monitoring of antipsychotics to individualize the selection of therapy in the treatment of exacerbation of schizophrenia by S. S. Potanin, M. M. Morozova, A. G. Beniashvili, D. S. Burminskiy, I. I. Miroshnichenko

“…The conducted literature search made it possible to classify AP according to the degree of expediency of TDM, to determine the optimal therapeutic concentrations for each drug, indications for TDM, and to develop a structured decision-making algorithm depending on the results obtained. The main indications for TDM AP in the treatment of exacerbation of schizophrenia are signs of impaired drug compliance, insufficient efficacy of therapy, pronounced dose-dependent side effects, and the addition of concomitant therapy that can significantly affect the concentration of AP. …”
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Adding Data Quality to Federated Learning Performance Improvement by Ernesto Gurgel Valente Neto, Solon Alves Peixoto, Valderi Reis Quietinho Leithardt, Juan Francisco de Paz Santana, Julio C. S. Dos Anjos

“…This study develops a data quality analysis algorithm for both FL and centralized environments to address these challenges. …”
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Interleaved Landsman Converter with Class Topper Optimized PI Control in Sensorless BLDC Motor Drive for Electric Vehicle by Suresh V., Jahnavi V.G., Manjula D., Lokesh M.

“…The main objectives of the study are todevelop a brushless direct current (BLDC) motor drive system with enhanced efficiency, reliability, and cost-effectiveness for electric vehicle (EV) applications. …”
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Harnessing Novel Data‐Driven Techniques for Precise Rainfall–Runoff Modeling by Saad Sh. Sammen, Reza Mohammadpour, Karam AlSafadi, Ali Mokhtar, Shamsuddin Shahid

“…ABSTRACT Rainfall and runoff are considered the main components of the hydrological cycle, and their forecasting is of great significance in water resource management, particularly for reservoir operation. …”
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Automated Fovea Detection in Spectral Domain Optical Coherence Tomography Scans of Exudative Macular Disease by Jing Wu, Sebastian M. Waldstein, Alessio Montuoro, Bianca S. Gerendas, Georg Langs, Ursula Schmidt-Erfurth

“…The fovea is classified into 3 main appearances to both specify the detection algorithm used and reduce computational complexity. …”
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Nonalcoholic Fatty Liver Disease: Different Classifications Concordance and Relationship between Degrees of Morphological Features and Spectrum of the Disease by Juliana Maya Monteiro, Geysa Maya Monteiro, Adriana Caroli-Bottino, Vera Lucia Pannain

“…Liver biopsy remains the main tool for NASH diagnosis and many histological systems to diagnose and grade NAFLD were proposed. …”
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Improving the quality of SAR radar image detection and identification using neural network to increase the security factor of military tactics by ali alizade, Jalil Mazloum, behrang hadian, ahmad dolatkhah, behnam dorostkar

“…According to the nature of formation of artificial aperture radar images, the presence of speckle noise is the most important factor in destroying the quality of these images and making a decision error.Method: Therefore, it is very important to have a pre-processing stage in order to reveal and identify the data and reduce the spot noise. The main goal is to provide a powerful algorithm based on artificial intelligence to improve the detection of SAR radar ground targets with object detection algorithms that are obtained through airplanes or satellites in order to monitor ground targets.Analysis: In the pre-processing stage, after reducing the effect of speckle noise on SAR radar images, the proposed model is investigated to improve the detection of SAR radar ground targets with the help of Lee filter.Analysis of the results: by using YOLO and RCNN algorithms, the RCNN algorithm has a better performance in detecting denoised MSTAR images with an average accuracy of 99.84% compared to YOLO with an average accuracy of 90.424%, but in detecting noisy MSTAR images, the YOLO method With an average accuracy of 80.875%, compared to the RCNN method with an average accuracy of 61.49%, it has a better performance for identifying and improving images and increasing the reliability of the system.…”
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EVOLUTION OF TREATMENT OF CANCER OF THE MAJOR DUODENAL PAPILLA by D. V. Nazarova, R. I. Rasulov, K. G. Zubrinsky, G. I. Sogolov

“…Pancreatoduodenal resection remains the main treatment method for patients with a resectable tumor. …”
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Modeling of digital spatial processing under conditions of troposphere propagation of centimeter radio waves for wireless telecommunication by Ilia W. Peshkov, Dmitry N. Borisov

“…The main advantage of the DAA consists in the high gain and controllability of the pattern shape. …”
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Investigating factors affecting the quality of water resources by multivariate analysis and soft computing approaches by Bing Cheng, Xinyu Liu, Keke Guo, Ahmad Rastegarnia

“…On the other hand, among the learning algorithms used in neural networks, the Levenberg–Marquardt algorithm demonstrated the highest level of accuracy. …”
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